Assistive technologies for social health in dementia show limited evidence of effectiveness
Many dementia technologies are adaptable, yet few have proven evidence for social health benefits
This umbrella review of 28 reviews published between 2007 and 2024 examined assistive technologies for social health in people with dementia…
Many tools for dementia claim to be adaptable, yet robust evidence for social health benefits is still limited.
Machine learning model identifies RLS in ESRD patients with AUC 0.791
Machine learning model helps identify restless legs in dialysis patients
This cohort study of 396 end-stage renal disease patients undergoing dialysis developed a machine learning classification model to identify …
A new machine learning model shows promise for spotting restless legs syndrome in people with end-stage kidney disease undergoing dialysis.
Narrative review discusses multi-target strategies for multiple sclerosis progression
New MS research points to five key targets for better treatment options soon
This narrative review addresses multiple sclerosis and suggests that existing animal models do not fully capture human disease complexity.
New research reveals five specific body processes that drive multiple sclerosis damage and could lead to better treatments for patients soon
Systematic Review Maps NODDI Research Trends and Clinical Shifts
NODDI research is shifting from methods to real clinical use in mental health
This systematic review of 679 publications from Web of Science and 844 from Scopus analyzes the research landscape of neurite orientation di…
A review of 679 papers shows NODDI brain imaging is moving from lab methods to helping understand mental health conditions.
Meta-analysis finds no benefit of IV thrombolysis for minor ischemic stroke
Clot-busting drugs did not improve function but raised bleeding risk for minor strokes
This systematic review and meta-analysis of RCTs involving 4,361 patients with minor ischemic stroke (NIHSS ≤5) found no significant differe…
A large review found clot-busting drugs offered no benefit for minor strokes but significantly increased the risk of dangerous brain bleedin…
Preoperative model predicts functional outcomes after glioma resection using clinical and MRI variables
AI predicts brain tumor recovery before surgery begins
This retrospective cohort study of 552 adults undergoing first resection of supratentorial contrast-enhancing glioma evaluated a preoperativ…
A new AI tool uses MRI scans to predict how well brain tumor patients recover after surgery and helps doctors plan care better.
MMSE-CDR-SB residual deviation from AD pattern linked to non-AD pathologies in autopsy and clinical cohorts
A simple score spots brain changes that are not typical Alzheimer's disease
This cohort study used an MMSE-CDR-SB residual to measure deviation from an AD-typical cognitive-functional pattern in an autopsy cohort (n=…
A new score helps doctors spot brain changes that look different from standard Alzheimer's disease, offering a clearer path to understanding…
Review of human postmortem studies finds region-dependent microglial variation in autism spectrum disorder brains
Brain scans show microglia vary by region and stage in autism
This review analyzed human postmortem studies using bulk transcriptomics and single-cell atlases to examine microglia in autism spectrum dis…
A review of brain tissue suggests immune cells in autism differ by location and development rather than showing one single pattern across al…
AutoML-based model predicts blood transfusion needs in severe traumatic brain injury patients with high accuracy
AI Model Predicts Blood Transfusion Needs in Severe Brain Injury
This retrospective cohort study evaluated an AutoML-based interpretable prediction model in 638 patients with severe traumatic brain injury …
An AI tool accurately predicts which severe brain injury patients need blood transfusions, potentially saving time and resources.
Machine learning model predicts functional status in patients with traumatic brain injury, intracerebral hemorrhage, or aneurysmal subarachnoid hemorrhage
New tool uses liver blood work to predict brain injury
This retrospective cohort study developed a machine learning model using liver function markers and other features to predict functional sta…
A new computer model uses liver blood tests to predict how well brain injury patients will recover after surgery.
Baseline psychological resilience was not independently associated with functional recovery in acute ischemic stroke patients
Stroke Recovery Depends On Clinical Factors Not Just Mental Strength
This prospective cohort study evaluated 241 adult patients with imaging-confirmed acute ischemic stroke hospitalized for rehabilitation.
New research shows that mental resilience does not independently predict how well patients recover physically after a stroke.
RACE score calculation associates with stroke differentiation and large vessel occlusion identification in emergency department cohort
1. HEADLINE (7 to 11 words)
This retrospective observational study included 303 consecutive adult patients in an emergency department stroke activation pathway.
This simple score helps doctors spot real strokes faster.